Acquiring Classifiers for Bipolarized Reward by XCS in a Continuous Reward Environment

In data mining, it is important to clarify how effective the acquired rules are and which elements are affected by rule evaluation. Extended learning classifier system (XCS) reveals factors that affect the classifier (rule) evaluation by generalizing the multiple classifiers that acquire the same re...

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Bibliographic Details
Main Authors: Takato Tatsumi, Keiki Takadama
Format: Article
Language:English
Published: Taylor & Francis Group 2019-05-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.9746/jcmsi.12.124